'Observed scores' diaporamas de présentation

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PVAAS Overview: Evaluating Growth, Projecting Performance

PVAAS Overview: Evaluating Growth, Projecting Performance

PVAAS Overview: Evaluating Growth, Projecting Performance. PVAAS Statewide Core Team Fall 2008. What do you think you already know about PVAAS? What do you want to find out about PVAAS today?

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637 views • 52 slides
Nonequivalent Groups: Linear Methods

Nonequivalent Groups: Linear Methods

Nonequivalent Groups: Linear Methods. Equating. Common Population. Anchor Test. Observed Score. True Score: CTT/IRT. Observed Score. True Score: CTT/IRT. The Synthetic Population. The design involves two populations

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434 views • 23 slides
Using Growth Models for Accountability

Using Growth Models for Accountability

Using Growth Models for Accountability. Pete Goldschmidt, Ph.D. Assistant Professor California State University Northridge Senior Researcher National Center for Research on Evaluation, Standards, and Student Testing. 86 th Annual CERA Conference November, 2007 Dana Point, CA.

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337 views • 22 slides
Assessing The Policy Outputs Environment for Effective Programming

Assessing The Policy Outputs Environment for Effective Programming

Assessing The Policy Outputs Environment for Effective Programming. Mohammed M Tumala ( MEMS ) Theresa Effa Kaka ( ENHANSE ) Chinelo Ezeobi ( COMPASS ). Objective of Presentation. Share with participants the PES process as a Monitoring Tool used by some USAID projects in Nigeria.

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385 views • 21 slides
Correlation & Prediction REVIEW

Correlation & Prediction REVIEW

Correlation & Prediction REVIEW. Correlation Bivariate Direct/Indirect Cause/Effect Strength of relationships (is + stronger than negative?) Coefficient of determination (r 2 ); Predicts what? Linear vs Curvilinear relationships. Table 5-2 Variable Classification. Independent Dependent

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265 views • 21 slides
Correlation & Prediction REVIEW

Correlation & Prediction REVIEW

Correlation & Prediction REVIEW. Correlation Bivariate Direct/Indirect Cause/Effect Strength of relationships (is + stronger than negative?) Coefficient of determination (r 2 ); Predicts what? Linear vs Curvilinear relationships. Table 5-2 Variable Classification. Independent Dependent

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376 views • 21 slides
Twilight: Estimating the local false discovery rate

Twilight: Estimating the local false discovery rate

Twilight: Estimating the local false discovery rate. Inference on two-sample designs and correlation tests for gene expression data: Observed and expected scores, p- and q-values (global FDR).

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119 views • 1 slides

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